COVID-19 Indonesia Dataset: Provincial-Level Time Series and Demographics

COVID-19-Indonesia-Dataset was compiled from open sources including covid19.go.id, kemendagri.go.id, bps.go.id, and bnpb-inacovid19.hub.arcgis.com. It contains time-series data on COVID-19 at the country and province level, with some city or regency-level data, and includes demographic information. The dataset was created to analyze factors for decision-making regarding provincial stringency levels.

Use Cases

• Analyze provincial-level pandemic stringency decisions based on compiled COVID-19 time-series data
• Model correlations between demographic factors and COVID-19 spread based on integrated demographic data
• Track COVID-19 trends across different administrative levels (country, province, city/regency) based on the hierarchical time-series data

Strengths

• Data is compiled from multiple official Indonesian government and public health sources
• Includes both pandemic time-series data and demographic data, enabling integrated analysis

Limitations

• Row count, column names, and file formats are unknown, limiting suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

covid19.go.id, kemendagri.go.id, bps.go.id, bnpb-inacovid19.hub.arcgis.com

Collection Method

Compilation from open data sources

Geography

Indonesia, with province-level and some city/regency-level data